Neural Network Acceptability Judgments

31 May 2018

Amanpreet Singh

Papers citing "Neural Network Acceptability Judgments"

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Title
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach Simiao Zuo Chen Liang Haoming Jiang Xiaodong Liu Pengcheng He Jianfeng Gao Weizhu Chen T. Zhao 55 9 0 11 Apr 2021
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections Ruiqi Zhong Kristy Lee Zheng-Wei Zhang Dan Klein 33 166 0 10 Apr 2021
EXPATS: A Toolkit for Explainable Automated Text Scoring Hitoshi Manabe Masato Hagiwara 8 4 0 07 Apr 2021
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results Hosein Mohebbi Ali Modarressi Mohammad Taher Pilehvar MILM 27 23 0 03 Apr 2021
Evaluating the Morphosyntactic Well-formedness of Generated Texts Adithya Pratapa Antonios Anastasopoulos Shruti Rijhwani Aditi Chaudhary David R. Mortensen Graham Neubig Yulia Tsvetkov 33 8 0 30 Mar 2021
Retraining DistilBERT for a Voice Shopping Assistant by Using Universal Dependencies P. Jayarao Arpit Sharma 16 2 0 29 Mar 2021
A Practical Survey on Faster and Lighter Transformers Quentin Fournier G. Caron Daniel Aloise 14 93 0 26 Mar 2021
Approximating Instance-Dependent Noise via Instance-Confidence Embedding Yivan Zhang Masashi Sugiyama 39 8 0 25 Mar 2021
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark Nicholas Lourie Ronan Le Bras Chandra Bhagavatula Yejin Choi LRM 30 137 0 24 Mar 2021
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures Sushant Singh A. Mahmood AI4TS 60 92 0 23 Mar 2021
Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning Sonal Garg Sumanth Prabhu Hemant Misra G. Srinivasaraghavan 22 14 0 23 Mar 2021
TAG: Gradient Attack on Transformer-based Language Models Jieren Deng Yijue Wang Ji Li Chao Shang Hang Liu Sanguthevar Rajasekaran Caiwen Ding FedML PILM 8 73 0 11 Mar 2021
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders Pengyu Cheng Weituo Hao Siyang Yuan Shijing Si Lawrence Carin 33 100 0 11 Mar 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 33 199 0 08 Mar 2021
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length Ethan Perez Douwe Kiela Kyunghyun Cho 22 24 0 05 Mar 2021
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey Tom Roth Yansong Gao A. Abuadbba Surya Nepal Wei Liu AAML 31 12 0 01 Mar 2021
SparseBERT: Rethinking the Importance Analysis in Self-attention Han Shi Jiahui Gao Xiaozhe Ren Hang Xu Xiaodan Liang Zhenguo Li James T. Kwok 23 54 0 25 Feb 2021
Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes Anvesh Rao Vijjini Kaveri Anuranjana R. Mamidi 38 2 0 19 Feb 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining Yu Meng Chenyan Xiong Payal Bajaj Saurabh Tiwary Paul N. Bennett Jiawei Han Xia Song 125 203 0 16 Feb 2021
AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning Yuhan Liu Saurabh Agarwal Shivaram Venkataraman OffRL 16 53 0 02 Feb 2021
Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling David Harbecke AAML 27 2 0 28 Jan 2021
CLiMP: A Benchmark for Chinese Language Model Evaluation Beilei Xiang Changbing Yang Yu Li Alex Warstadt Katharina Kann ALM 25 38 0 26 Jan 2021
Muppet: Massive Multi-task Representations with Pre-Finetuning Armen Aghajanyan Anchit Gupta Akshat Shrivastava Xilun Chen Luke Zettlemoyer Sonal Gupta 33 266 0 26 Jan 2021
WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm Akshay Krishna Sheshadri Anvesh Rao Vijjini S. Kharbanda 16 8 0 14 Jan 2021
I-BERT: Integer-only BERT Quantization Sehoon Kim A. Gholami Z. Yao Michael W. Mahoney Kurt Keutzer MQ 105 341 0 05 Jan 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 254 342 0 01 Jan 2021
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers Wenhui Wang Hangbo Bao Shaohan Huang Li Dong Furu Wei MQ 24 257 0 31 Dec 2020
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 0 31 Dec 2020
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks? Thang M. Pham Trung Bui Long Mai Anh Totti Nguyen 217 122 0 30 Dec 2020
Accurate Word Representations with Universal Visual Guidance Zhuosheng Zhang Haojie Yu Hai Zhao Rui-cang Wang Masao Utiyama 22 0 0 30 Dec 2020
BURT: BERT-inspired Universal Representation from Learning Meaningful Segment Yian Li Hai Zhao SSL 13 0 0 28 Dec 2020
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation Peyman Passban Yimeng Wu Mehdi Rezagholizadeh Qun Liu 13 122 0 27 Dec 2020
Pre-Training Transformers as Energy-Based Cloze Models Kevin Clark Minh-Thang Luong Quoc V. Le Christopher D. Manning 15 78 0 15 Dec 2020
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding Hao Fu Shaojun Zhou Qihong Yang Junjie Tang Guiquan Liu Kaikui Liu Xiaolong Li 40 57 0 14 Dec 2020
Infusing Finetuning with Semantic Dependencies Zhaofeng Wu Hao Peng Noah A. Smith 25 36 0 10 Dec 2020
Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks P. Schwaller Daniel Probst Alain C. Vaucher Vishnu H. Nair D. Kreutter Teodoro Laino J. Reymond 147 225 0 09 Dec 2020
Towards Coinductive Models for Natural Language Understanding. Bringing together Deep Learning and Deep Semantics Wlodek Zadrozny AI4CE 17 1 0 09 Dec 2020
An Investigation of Language Model Interpretability via Sentence Editing Samuel Stevens Yu-Chuan Su LRM 13 8 0 28 Nov 2020
CoRe: An Efficient Coarse-refined Training Framework for BERT Cheng Yang Shengnan Wang Yuechuan Li Chao Yang Ming Yan Jingqiao Zhang Fangquan Lin 14 0 0 27 Nov 2020
AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments Eric Li Jingyi Su Hao Sheng Lawrence Wai 14 2 0 25 Nov 2020
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks Ileana Rugina Rumen Dangovski L. Jing Preslav Nakov Marin Soljacic 26 0 0 20 Nov 2020
Mixing ADAM and SGD: a Combined Optimization Method Nicola Landro I. Gallo Riccardo La Grassa ODL 8 24 0 16 Nov 2020
Know What You Don't Need: Single-Shot Meta-Pruning for Attention Heads Zhengyan Zhang Fanchao Qi Zhiyuan Liu Qun Liu Maosong Sun VLM 41 30 0 07 Nov 2020
CharBERT: Character-aware Pre-trained Language Model Wentao Ma Yiming Cui Chenglei Si Ting Liu Shijin Wang Guoping Hu 31 104 0 03 Nov 2020
Word Frequency Does Not Predict Grammatical Knowledge in Language Models Charles Yu Ryan Sie Nicolas Tedeschi Leon Bergen 17 3 0 26 Oct 2020
ANLIzing the Adversarial Natural Language Inference Dataset Adina Williams Tristan Thrush Douwe Kiela AAML 179 46 0 24 Oct 2020
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education Debajyoti Datta Maria Phillips Jennifer L. Chiu G. Watson J. Bywater Laura E. Barnes Donald E. Brown 23 7 0 23 Oct 2020
ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding Dongling Xiao Yukun Li Han Zhang Yu Sun Hao Tian Hua Wu Haifeng Wang 27 38 0 23 Oct 2020
Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data Michael L. Wick Kate Silverstein Jean-Baptiste Tristan Adam Craig Pocock Mark Johnson 17 3 0 22 Oct 2020
Towards Fully Bilingual Deep Language Modeling Li-Hsin Chang S. Pyysalo Jenna Kanerva Filip Ginter 34 3 0 22 Oct 2020